402 search results - page 59 / 81 » Probability, Parallelism and the State Space Exploration Pro... |
CEC
2009
IEEE
14 years 2 months ago
2009
IEEE
— We extend the Evolution Strategy with Covariance Matrix Adaptation (CMA-ES) by collaborative concepts from Particle Swarm Optimization (PSO). The proposed Particle Swarm CMA-ES...
EUROCAST
2007
Springer
14 years 2 months ago
2007
Springer
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
PE
2011
Springer
13 years 2 months ago
2011
Springer
High-level semi-Markov modelling paradigms such as semi-Markov stochastic Petri nets and process algebras are used to capture realistic performance models of computer and communic...
LWA
2007
13 years 9 months ago
2007
Large, high dimensional data spaces, are still a challenge for current data clustering methods. Frequent Termset (FTS) clustering is a technique developed to cope with these chall...
IFIP
2004
Springer
14 years 1 months ago
2004
Springer
Ensuring correctness of software by formal methods is a very relevant and widely studied problem. Automatic verification of software using model checkers from the state space exp...